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Real Time Video Processing For Drone-Based Lightning Sensor

Aziz, Muhammad Fikri (2017) Real Time Video Processing For Drone-Based Lightning Sensor. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Real Time Video Processing For Drone-Based Lightning Sensor - Muhammad Fikri Aziz - 24 Pages.pdf - Submitted Version

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Abstract

The development of real time video processing for drone-based lightning sensor by using raspberry pi is described. Lightning has become a riddle and phenomenal among researchers. Research on the impact of lightning on Earth continues today. The pattern, the colour, the dimension size and the characteristic is a famous question hanging unanswered, especially focusing on intra-cloud lightning, Narrow Bipolar Event (NBE). Detecting lightning activity in the geological record can be difficult, given the instantaneous nature of lightning strikes in general anytime. Earth scientists are interested in detecting lightning because it helps pinpoint where and when the lightning is occurring. Thus, detecting lightning strikes is important to improve public safety during severe weather, warning land managers of possible wildfire triggers, and protecting electrical and transportation system. There is a need for the scientists, researchers and people to be provided with low cost measuring tools to measure all this criteria in order to further more the study of lightning activity throughout Earth‟s history. The common measurement tool that people usually use is a high speed camera came with a flash sensor. This method is very costly and has limitation as it only able to capture cloud to ground lightning and has a low mobility due to its heavy weight. Nowadays, intra-cloud lightning has become a hot topic. Thus, this project existed as an upgraded choice to replace high speed camera with affordable cost, high mobility but less accuracy compare to high speed camera.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Image processing -- Data processing, Real-time data processing, Digital video
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FKEKK
Depositing User: Nor Aini Md. Jali
Date Deposited: 06 Dec 2018 06:23
Last Modified: 06 Dec 2018 06:23
URI: http://digitalcollection.utem.edu.my/id/eprint/22063

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